-
公开(公告)号：US09031317B2
公开(公告)日：2015-05-12
申请号：US13621974
申请日：2012-09-18
申请人： Yury Yakubovich , Ivo Moravec , Yang Yang , Ian Clarke , Lihui Chen , Eunice Poon , Mikhail Brusnitsyn , Arash Abadpour , Dan Rico , Guoyi Fu
发明人： Yury Yakubovich , Ivo Moravec , Yang Yang , Ian Clarke , Lihui Chen , Eunice Poon , Mikhail Brusnitsyn , Arash Abadpour , Dan Rico , Guoyi Fu
IPC分类号： G06K9/62
CPC分类号： G06K9/6219 , G06K9/6227 , G06K9/6254 , G06K9/6256
摘要： An adequate solution for computer vision applications is arrived at more efficiently and, with more automation, enables users with limited or no special image processing and pattern recognition knowledge to create reliable vision systems for their applications. Computer rendering of CAD models is used to automate the dataset acquisition process and labeling process. In order to speed up the training data preparation while maintaining the data quality, a number of processed samples are generated from one or a few seed images.
摘要翻译： 更有效率地获得了一个适用于计算机视觉应用的充分解决方案，并且通过更多的自动化，使得有限或无特殊图像处理和模式识别知识的用户可以为其应用创建可靠的视觉系统。 CAD模型的计算机绘制用于自动化数据集获取过程和标签过程。 为了在保持数据质量的同时加快训练数据准备，从一个或几个种子图像生成多个处理的样本。
-
公开(公告)号：US20140079314A1
公开(公告)日：2014-03-20
申请号：US13621974
申请日：2012-09-18
申请人： Yury Yakubovich , Ivo Moravec , Yang Yang , Ian Clarke , Lihui Chen , Eunice Poon , Mikhail Brusnitsyn , Arash Abadpour , Dan Rico , Guoyi Fu
发明人： Yury Yakubovich , Ivo Moravec , Yang Yang , Ian Clarke , Lihui Chen , Eunice Poon , Mikhail Brusnitsyn , Arash Abadpour , Dan Rico , Guoyi Fu
IPC分类号： G06K9/62
CPC分类号： G06K9/6219 , G06K9/6227 , G06K9/6254 , G06K9/6256
摘要： An adequate solution for computer vision applications is arrived at more efficiently and, with more automation, enables users with limited or no special image processing and pattern recognition knowledge to create reliable vision systems for their applications. Computer rendering of CAD models is used to automate the dataset acquisition process and labeling process. In order to speed up the training data preparation while maintaining the data quality, a number of processed samples are generated from one or a few seed images.
摘要翻译： 更有效率地获得了一个适用于计算机视觉应用的充分解决方案，并且通过更多的自动化，使得有限或无特殊图像处理和模式识别知识的用户可以为其应用创建可靠的视觉系统。 CAD模型的计算机绘制用于自动化数据集获取过程和标签过程。 为了在保持数据质量的同时加快训练数据准备，从一个或几个种子图像生成多个处理的样本。
-
公开(公告)号：US08467596B2
公开(公告)日：2013-06-18
申请号：US13220851
申请日：2011-08-30
申请人： Arash Abadpour , Guoyi Fu , Ivo Moravec
发明人： Arash Abadpour , Guoyi Fu , Ivo Moravec
IPC分类号： G06K9/00
摘要： A pose of an object is estimated from an from an input image and an object pose estimation is then stored by: inputting an image containing an object; creating a binary mask of the input image; extracting a set of singlets from the binary mask of the input image, each singlet representing points in an inner and outer contour of the object in the input image; connecting the set of singlets into a mesh represented as a duplex matrix; comparing two duplex matrices to produce a set of candidate poses; and producing an object pose estimate, and storing the object pose estimate. The estimated pose of the object is refined by: inputting an image of an object in an estimated pose, a model of the object, and parameters of a camera used to take the image of the object in the estimated pose; projecting the model of the object into a virtual image of the object using the parameters of the camera and initial pose parameters to obtain a binary mask image and image depth information; and updating the initial pose parameters to new pose parameters using the binary mask image and image depth information and updating the new pose parameters iteratively to minimize an energy function or until a maximum number of iterations is reached.
摘要翻译： 从输入图像估计对象的姿态，然后通过以下方式存储对象姿势估计：输入包含对象的图像; 创建输入图像的二进制掩码; 从输入图像的二进制掩码中提取一组单元，每个单线代表输入图像中对象的内外轮廓中的点; 将该组单元连接成以双面矩阵表示的网格; 比较两个双工矩阵以产生一组候选姿势; 并产生物体姿态估计，并存储对象姿态估计。 通过以下方式来改善对象的估计姿态：在估计姿态中输入对象的图像，对象的模型以及用于在估计姿态中拍摄对象的图像的相机的参数; 使用相机的参数和初始姿态参数将对象的模型投影到对象的虚拟图像中，以获得二进制掩码图像和图像深度信息; 以及使用二进制掩模图像和图像深度信息将初始姿态参数更新为新的姿态参数，并且迭代地更新新的姿态参数以最小化能量函数或直到达到最大次数。
-
公开(公告)号：US20130051626A1
公开(公告)日：2013-02-28
申请号：US13220851
申请日：2011-08-30
申请人： Arash Abadpour , Guoyi Fu , Ivo Moravec
发明人： Arash Abadpour , Guoyi Fu , Ivo Moravec
IPC分类号： G06K9/46
摘要： A pose of an object is estimated from an from an input image and an object pose estimation is then stored by: inputting an image containing an object; creating a binary mask of the input image; extracting a set of singlets from the binary mask of the input image, each singlet representing points in an inner and outer contour of the object in the input image; connecting the set of singlets into a mesh represented as a duplex matrix; comparing two duplex matrices to produce a set of candidate poses; and producing an object pose estimate, and storing the object pose estimate. The estimated pose of the object is refined by: inputting an image of an object in an estimated pose, a model of the object, and parameters of a camera used to take the image of the object in the estimated pose; projecting the model of the object into a virtual image of the object using the parameters of the camera and initial pose parameters to obtain a binary mask image and image depth information; and updating the initial pose parameters to new pose parameters using the binary mask image and image depth information and updating the new pose parameters iteratively to minimize an energy function or until a maximum number of iterations is reached.
摘要翻译： 从输入图像估计对象的姿态，然后通过以下方式存储对象姿势估计：输入包含对象的图像; 创建输入图像的二进制掩码; 从输入图像的二进制掩码中提取一组单元，每个单线代表输入图像中对象的内外轮廓中的点; 将该组单元连接成以双面矩阵表示的网格; 比较两个双工矩阵以产生一组候选姿势; 并产生物体姿态估计，并存储对象姿态估计。 通过以下方式来改善对象的估计姿态：在估计姿态中输入对象的图像，对象的模型以及用于在估计姿态中拍摄对象的图像的相机的参数; 使用相机的参数和初始姿态参数将对象的模型投影到对象的虚拟图像中，以获得二进制掩码图像和图像深度信息; 以及使用二进制掩模图像和图像深度信息将初始姿态参数更新为新的姿态参数，并且迭代地更新新的姿态参数以最小化能量函数或直到达到最大次数。
-
-
-
搜索结果
4 条记录 (耗时 0.014 秒)
